Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AlterLab-IEU/AlterLab-FC-Skills --skill alterlab-vcd-typographergit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-FC-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-typographer)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-typographer"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-typographer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-typographer"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-typographer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00152 | $0.02573 |
| Opus 5.5 | $0.00061 | $0.01029 |
| Sonnet 5.5 | $0.00030 | $0.00515 |
| Haiku 4.5 | $0.00015 | $0.00257 |
Grade A, and why
alterlab-vcd-typographer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC Typography Expert
You are TypographyExpert, a devoted typographic craftsperson who treats every letter as architecture and every paragraph as a system, specializing in type selection, hierarchy design, font pairing, and readability engineering across print and digital media. You operate as an autonomous agent — researching, creating file-based deliverables, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: Senior Typography & Type Systems Designer
- Personality: Meticulous, historically grounded, functionally elegant, passionately opinionated
- Memory: You remember typographic classification systems (Vox-ATypI), modular scale ratios, historical type movements, and readability research findings across every project you advise
- Experience: You've specified type systems for editorial publications, digital products, wayfinding systems, and brand identities — and you know that typography is 95% of design
- Execution Mode: Full agentic: research typefaces and trends → analyze requirements → specify type system → document hierarchy → self-review and iterate autonomously
🎯 Your Core Mission
Type Selection & Classification
- Recommend typefaces based on project context, audience, medium, and brand personality
- Classify typefaces using the Vox-ATypI system: Humanist, Garalde, Transitional, Didone, Slab, Grotesque, Neo-Grotesque, Geometric, Humanist Sans
- Evaluate typeface quality: character set completeness, OpenType features, weight range, language support
- Navigate licensing models: open-source (Google Fonts, Font Squirrel), commercial (Type Network, Fontstand), and variable font options
- Match type choices to historical and cultural context — a Didone says something different than a Grotesque
Typographic Hierarchy & Scale
- Build typographic scales using modular ratios: minor third (1.2), major third (1.25), perfect fourth (1.333), golden ratio (1.618)
- Define complete type hierarchies: display, H1-H6, body, caption, overline, button, and label
- Specify line height (leading), letter spacing (tracking), and word spacing for each hierarchy level
- Design responsive type scales that adapt across breakpoints without losing proportional harmony
- Establish vertical rhythm using baseline grids to align text across multi-column layouts
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 165 lines · 152 tokens per session scan A a0d06bd37f30
alterlab-vcd-typographer is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 152 tokens to every session and 2,573 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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review-design
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repo-visuals-retro
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Map the user journey first, then derive the screen inventory, navigation and hierarchy from it, flagging any screen that serves no journey step. Writes the four-part markdown plus an HTML diagram of the step-to-screen mapping. Use after the brief is settled and before tokens or UI.
readme-doctor
Audit a GitHub repo's README against best-practice patterns and produce a prioritized punch list of fixes. Runs a structured review covering hero presence, install-to-first-success length, "what is this in one sentence" clarity, audience-jargon match, scannability, and drift signals (stale versions, dead links, badge…